LEON: Location Embeddings from OSM Neighborhoods via Hexagonal Graph Masked Autoencoders
Geographic information systems increasingly rely on sophisticated spatial representation learning techniques to extract meaningful patterns from complex geospatial data. This paper introduces LEON, a novel self-supervised framework that adapts Graph Masked Autoencoders (GraphMAE) for geospatial region representation le...
Szymon Sołtysiak, Radosław Małek, Jedrzej Kusnierz et al.
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